本文關(guān)鍵詞： 被動(dòng)聲納測(cè)向 信號(hào)級(jí)仿真 部件級(jí)建模 波束形成 PSO算法　出處：《中國(guó)艦船研究院》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著部署在我國(guó)周邊的潛艇的日益增加,我國(guó)的水下安全形勢(shì)日趨嚴(yán)峻。為提升對(duì)水下目標(biāo)的探測(cè)能力,根據(jù)被動(dòng)聲納探測(cè)具有隱蔽性的特點(diǎn),本文利用被動(dòng)聲納測(cè)向信號(hào)級(jí)仿真深入研究了被動(dòng)聲納測(cè)向的精度和抗干擾能力問題。仿真了被動(dòng)聲納的信號(hào)源。利用高斯白噪聲仿真海洋環(huán)境噪聲;通過連續(xù)譜噪聲和線譜噪聲疊加的調(diào)制譜噪聲仿真出可信度較高的水中目標(biāo)輻射噪聲�；诨囍赶蛐阅Ｐ�,建立波束形成模型處理源信號(hào)。分別通過仿真均勻加權(quán)波束形成、Chebyshev加權(quán)波束形成以及自適應(yīng)波束形成模型得到目標(biāo)的方位信息。通過對(duì)這三種波束形成的對(duì)比,得出結(jié)論:均勻加權(quán)波束形成的測(cè)向精度最好;自適應(yīng)加權(quán)波束形成的抗干擾能力最好。在此基礎(chǔ)上,為進(jìn)一步提高被動(dòng)聲納的測(cè)向性能,首次提出將粒子群優(yōu)化(PSO)算法引入到被動(dòng)聲納波束形成。標(biāo)準(zhǔn)PSO波束圖優(yōu)化的仿真結(jié)果表明:標(biāo)準(zhǔn)PSO波束圖優(yōu)化測(cè)向精度高,且能抑制特定方位的干擾。但是,針對(duì)復(fù)雜陣型,它存在著收斂速度慢,且易于早熟的缺陷。為克服標(biāo)準(zhǔn)PSO波束圖優(yōu)化的缺陷,又創(chuàng)新性地提出了將修正Taylor法與標(biāo)準(zhǔn)PSO算法相結(jié)合的T-PSO算法應(yīng)用于被動(dòng)聲納波束形成。被動(dòng)聲納測(cè)向信號(hào)級(jí)仿真的結(jié)果表明:T-PSO波束圖優(yōu)化法既適用于對(duì)稱波束圖優(yōu)化,又可用于非對(duì)稱波束圖優(yōu)化。而且,測(cè)向精度高,虛警率低,收斂性好,且具有良好的抗干擾能力。但是,T-PSO波束圖優(yōu)化的收斂穩(wěn)定性仍需進(jìn)一步改善。
[Abstract]:With the increasing number of submarines deployed around our country, the underwater security situation is becoming more and more serious. In order to improve the detection capability of underwater targets, passive sonar detection has the characteristics of concealment. In this paper, the accuracy and anti-jamming ability of passive sonar direction-finding are deeply studied by using the signal level simulation of passive sonar, the signal source of passive sonar is simulated, and the marine environmental noise is simulated by Gao Si white noise. Based on the directivity model of array array, the radiated noise of underwater target with high reliability is simulated by the modulation spectrum noise superimposed by continuous spectrum noise and linear spectral noise. The beamforming model is established to process the source signal. The azimuth information of the target is obtained by simulating the uniform weighted beamforming model and the adaptive beamforming model respectively. It is concluded that the direction finding accuracy of uniform weighted beamforming is the best, and the anti-jamming ability of adaptive weighted beamforming is the best. On this basis, in order to further improve the performance of passive sonar, Particle Swarm Optimization (PSO) algorithm is introduced into passive sonar beamforming for the first time. The simulation results of standard PSO beammap optimization show that the standard PSO beammap optimization has high precision and can suppress the interference of specific azimuth. It has the defects of slow convergence and precocity. In order to overcome the defects of standard PSO beam map optimization, The T-PSO algorithm which combines the modified Taylor method with the standard PSO algorithm is innovatively applied to passive sonar beamforming. The results of signal level simulation of passive sonar direction finding show that the beam map optimization method is suitable for symmetric beam map optimization. It can also be used for asymmetric beam map optimization. Moreover, the precision of direction finding is high, the false alarm rate is low, the convergence rate is good, and it has good anti-interference ability. However, the convergence stability of T-PSO beam map optimization still needs to be further improved.
【學(xué)位授予單位】：中國(guó)艦船研究院
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：U666.7

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